Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Associate Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling organization, you will be based in Pittsburgh, PA.
Job Summary:
As an Associate Data Scientist within PNC's Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm's account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies.
You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models.
Specific responsibilities for this role include (but are not limited to):
• Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets • Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation • Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts • Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders
Preferred experience/qualifications:
• Bachelor's degree or higher in a quantitative field • Experience with data mining and data preparation for ML models • Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling • Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms • Strong programming skills in Python, PySpark, R, and/or SQL • Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model • Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems • Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners • Ability to manage multiple projects simultaneously • Strong teamwork skills and ability to work across different departments
Additional preferred qualifications:
• Experience in banking/ financial services • Experience with anti-fraud and/or anti-money laundering modeling • Hands-on experience building various types of AI/ML models, including neural networks • Experience with cloud platforms like AWS, Google Cloud, or Azure
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description
• Supports the team with analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights. • Participates in the data gathering, data processing and data mining of large and complex datasets. • Supports the team in developing algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes. • Assists with analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling. • May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Preferred Skills
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
Competencies
Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools
Work Experience
Roles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Education
Bachelors (Required)
Certifications
No Required Certification(s)
Licenses
No Required License(s)
Benefits
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Equal Employment Opportunity (EEO)
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.